Natural Language Processing and Knowledge Representation

The essays in this interdisciplinary book cover a range of implementations and designs from formal computational models to large-scale NL processing systems.Natural language (NL) refers to human languagecomplex irregular diverse with all its philosophical problems of meaning and context. Setting a new direction in AI research this book explores the development of knowledge representation and reasoning (KRR) systems that simulate the role of NL in human information and knowledge processing. Traditionally KRR systems have incorporated NL as an interface to an expert system or knowledge base that performed tasks separate from NL processing. As this book shows however the computational nature of representation and inference in NL makes it the ideal level for all tasks in an intelligent computer system. NL processing combines the qualitative characteristics of human knowledge processing with a computer''s quantitative advantages allowing for in-depth systematic processing of vast amounts of information. The essays in this interdisciplinary book cover a range of implementations and designs from formal computational models to large-scale NL processing systems.ContributorsSyed S. Ali Bonnie J. Dorr Karen Ehrlich Robert Givan Susan M. Haller Sanda Harabagiu Chung Hee Hwang Lucja Iwanska Kellyn Kruger Naveen Mata David A. McAllester David D. McDonald Susan W. McRoy Dan Moldovan William J. Rapaport Lenhart Schubert Stuart C. Shapiro Clare R. Voss